Inspired from the structural diversity [1]}, we utilize the number of candidate groups and the size of each group of a target to represent the statistical factors of multi-membership and inclusiveness, respectively. In particular, given a graph \(\mathcal {G} \)  and a target user \(v_t\) , we define the multi-membership of \(v_t\)  as the number of candidate groups (\(\#\mathsf {CC}\) ) consisting of all source neighbors of \(v_t\) , and the inclusiveness of a given group \(\mathcal {C} \)  as the group size (\({\mathsf {GS}}\) ), i.e., the cardinality \(|\mathcal {C} |\) .
In contrast, the prior work of structural diversity [1]} focuses on the groups with source neighbors who have sent the invitation only.
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